gardner_simulink

DS-cdma仿真matlab程序 有详细的设计文档和源程序说明(DS-cdma Matlab simulation procedures detailed design documentation and source files note)

说明：  该源码是用simulink对QAM的仿真实现(the source is used Simulink right QAM Simulation)

信息通过整个通信链路，BPSK调制，信道编码采用奇偶校验码。(Information through the communication link, BPSK modulation, channel coding USES the parity check code.)

fingerprint enhancement using DCT

matlab 车牌识别，图像预处理，图像分割，字符识别等(matlab image processing， image segment)

matlab，最小拍控制系统，输入为速度信号，输出控制器输出变量无波纹。无波纹最小拍控制系统(matlab, minimum beat control system, the input speed signal, the output controller output variables corrugated. Corrugated minimum Beat Control System)

老师布置的作业几何图形的特征识别分类中心提取以及圆形的圆心半径参数的确定(Teacher assignments geometry feature recognition extraction and classification center center circle radius to determine the parameters)

说明：  模型预测电流控制其控制思想基于以下原理：首先，功率变换器产生的开关状态个数有限，且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性；其次，定义价值函数评价被控变量的预测值，为判别最优有限开关状态提供依据；最后，计算出每一种开关状态下的价值函数值，以此评价每一种开关状态下被控变量预测值的优劣，选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)

说明：  空间多路复用开环模式3，亲测无误，代码赴注释(spatialmultiplexing_openloop_mode3)

说明：  基于信息融合的图像边缘检测方法研究,⑴直方图均衡化（histogram equalization），⑵直方图匹配（histogram matching），⑶邻域平均（neighborhood averaging），⑷局域增强（local enhancement）， ⑸中值滤波（median filtering）。(Edge detection method, 1 histogram equalization (histogram equalization). 2 histogram matching (histogram matching). 3 Neighborhood average (neighborhood averaging) 4 Local Enhancement (local enhancement). together median filter (median filtering).)